{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "supported platform", "vulnerability", "releaser", "vulnerable system", "issues addressed", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["time", "place", "victim", "trusted entity", "attack pattern", "damage amount", "attacker", "tool", "purpose"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerable system owner", "supported platform", "capabilities", "vulnerable system version"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "place", "time", "attacker", "number of data", "victim", "damage amount"]}, {"event_type": "ransom", "trigger": true, "arguments": ["attacker", "tool", "price", "attack pattern", "payment method", "damage amount", "time"]}], "input": "\" About 25 percent of the kits contained implicit recipients which receive emails with the phishing results as well as the kit buyers who were intended to receive it ."}
{"patch vulnerability": [], "phishing": [{"trigger": "receive", "arguments": {"time": "NAN", "place": "NAN", "victim": "implicit recipients", "trusted entity": "NAN", "attack pattern": "NAN", "damage amount": "NAN", "attacker": "NAN", "tool": "emails", "purpose": "NAN"}}], "discover vulnerability": [], "data breach": [], "ransom": []}